Question

我最近开始使用Pandas，发现CustomBusinessDay 和BusinessHour类对于执行日历数学非常有用，同时考虑了特定的业务规则。但是，我想知道是否有可能将它们结合起来计算尊重两个类的时间值。

例如，我想在开始时间增加n个工作小时，让它跳过＆＃34;非工作时间＆＃34;由BusinessHour课程定义，以及＆＃34; off-days＆＃34;在CustomBusinessDay类中定义。

对这个图书馆有更多经验的人是否知道这是否可以轻松完成，或者如果没有，建议如何将此功能封装在另一个类中？

Answer 1

从版本0.18.1开始，您可以使用CustomBusinessHour：

CustomBusinessHour是BusinessHour和 CustomBusinessDay允许您指定任意假期。对于详情请参阅Custom Business Hour（GH11514）

In [1]: from pandas.tseries.offsets import CustomBusinessHour

In [2]: from pandas.tseries.holiday import USFederalHolidayCalendar

In [3]: bhour_us = CustomBusinessHour(calendar=USFederalHolidayCalendar())
Friday before MLK Day

In [4]: dt = datetime(2014, 1, 17, 15)

In [5]: dt + bhour_us
Out[5]: Timestamp('2014-01-17 16:00:00')
Tuesday after MLK Day (Monday is skipped because it’s a holiday)

In [6]: dt + bhour_us * 2
Out[6]: Timestamp('2014-01-21 09:00:00')

我正在使用的一个例子是

from pandas.tseries.offsets import CustomBusinessHour
from pandas.tseries.holiday import Holiday, AbstractHolidayCalendar

class MyCalendar(AbstractHolidayCalendar):
    rules = [Holiday('my birthday', month=6, day=6)]

cbh = CustomBusinessHour(2, start='10:00', end='16:00', calendar=MyCalendar())

pd.date_range('20170602', periods=20, freq=cbh)

Out: 
DatetimeIndex(['2017-06-02 10:00:00', '2017-06-02 12:00:00',
               '2017-06-02 14:00:00', '2017-06-05 10:00:00',
               '2017-06-05 12:00:00', '2017-06-05 14:00:00',
               '2017-06-07 10:00:00', '2017-06-07 12:00:00',
               '2017-06-07 14:00:00', '2017-06-08 10:00:00',
               '2017-06-08 12:00:00', '2017-06-08 14:00:00',
               '2017-06-09 10:00:00', '2017-06-09 12:00:00',
               '2017-06-09 14:00:00', '2017-06-12 10:00:00',
               '2017-06-12 12:00:00'],
              dtype='datetime64[ns]', freq='2CBH')

在Pandas中组合CustomBusinessDay和BusinessHour类

1 个答案: